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Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies for the classical sleep stages of Wake, REM, and Non-REM. Meanwhile, it has been recognized that the statistics of transitional stages such as pre-REM, found between Non-REM and REM, may hold additional insight into the physiology of sleep and are now under vivid investigation. We propose a classification system based on a simple neural network architecture that scores the classical stages as well as pre-REM sleep in mice. When restricted to the classical stages, the optimized network showed state-of-the-art classification performance with an out-of-sample F1 score of 0.95 in male C57BL/6J mice. When unrestricted, the network showed lower F1 scores on pre-REM (0.5) compared to the classical stages. The result is comparable to previous attempts to score transitional stages in other species such as transition sleep in rats or N1 sleep in humans. Nevertheless, we observed that the sequence of predictions including pre-REM typically transitioned from Non-REM to REM reflecting sleep dynamics observed by human scorers. Our findings provide further evidence for the difficulty of scoring transitional sleep stages, likely because such stages of sleep are under-represented in typical data sets or show large inter-scorer variability. We further provide our source code and an online platform to run predictions with our trained network.
Der Tyrannosaurus-Rex ist der Uronkel des Haushuhns. Eine evolutionäre Tatsache, die in Erstaunen versetzt. Vielen Menschen ist nicht bekannt, dass die heutigen Vögel von einem Zweig der fleischfressenden Dinosaurier, den Theropoden, abstammen. Die Bachelorarbeit mit dem Titel „AVES – Die Evolution der Vögel“ zeigt die Entwicklung von der laufenden Echse hin zum fliegenden Vogel mittels einer Naturkundeausstellung. Dabei handelt es sich um eine Sonderausstellung, die sich für die Präsentation in musealen Institutionen eignet. Die chronologisch aufgebaute Ausstellung gliedert sich in sechs Zeitepochen, von der Urzeit bis hin zur Jetztzeit. Diese sind farblich und typografisch so gestaltet, dass sie den Besuchenden eine optimale Orientierung bieten. Hierbei fügen sich einige gestalterische Elemente zusammen, wie plakative Tierillustrationen, die Themeninhalte untermalen, Waldkulissen und auditive Elemente, die eine Raumatmosphäre bilden. Die Ausstellung soll die Besuchenden durch die besondere Atmosphäre nicht nur emotional erreichen, sondern auch das inhaltliche Verständnis fördern und festigen.
„Bahn-Buddy“ ist eine App, die Kindern bei Bahnfahrten auf unterhaltsame Weise ihre Umgebung näherbringt. Dabei wird mit GPS gearbeitet, um die Inhalte der App auf die jeweilige Bahnstrecke abzustimmen. Verschiedene Minispiele und Infoscreens sollen der Fahrt ein interaktiveres Gefühl verleihen und somit die gefühlte Fahrzeit für die Zielgruppe reduzieren. Den Kindern soll dabei auf eine spielerische Art und Weise Wissen über das Land, aber auch über alternative Verkehrsmittel und den Einfluss des Verkehrs auf die Umwelt vermittelt werden.
Ziel ist es, die generelle Erfahrung des Bahnfahrens positiver zu gestalten. Dies soll zu einer frühen Kundenbindung führen und durch den geringeren CO2-Ausstoß bei Reisen mit der Bahn einen positiven Effekt auf die Umwelt haben.
Architekten und Ingenieure entwerfen häufig Gebäude, ohne zu berücksichtigen, wie die verwendeten Baumaterialien nach ihrer Nutzung zurückgeführt werden können. Daher gelangen Rohstoffe über den Lebenszyklus eines Produkts nicht hinaus oder nicht in den Produktionsprozess zurück.
»Bauwerk Stadt« ist ein digitaler Leitfaden, der durch Bewertungssysteme zur Klassifizierung von Produkten beiträgt und so den Wert sowie die potenzielle Abbauwürdigkeit des Materials ermittelt. Ebenso wird auf der Webseite ein umfassendes Bild der Thematik vermittelt: von der Planung über die Realisierung bis hin zum Rückbau. Durch dokumentarische Texte in modularen Boxen und animierte Grafiken, die selbst zur Architektur werden, werden gewissenhaft Informationen dargeboten.
Die dynamisch gestaltete Webseite soll bei der Planung zum nachhaltigen Bauen helfen und so umsetzbare Handlungsmöglichkeiten aufzeigen sowie das Recyceln unterstützen.
Dieser "Crashkurs" eignet sich ausgezeichnet für die kompakte Wiederholung und die zielgerichtete Prüfungsvorbereitung. Das Buch ist aufgrund seiner fallbezogenen Ausrichtung vor allem für Anfänger gedacht, eignet sich aber auch für fortgeschrittene Studierende zur kompakten Wiederholung. Einfache Merksätze, Fälle, Übersichten, Definitionen und kurze Zusammenfassungen lassen sich leicht einprägen und geben Sicherheit für die Prüfung. Vorteile auf einen Blick: Das wichtigste BGB-Know-how als Repetitorium vor der Prüfung, mit erprobten Merksätzen und kurzen Zusammenfassungen,
Fall für Fall sicher durch die Prüfung
Biological Cocoon: Gestaltung des künstlichen Frühgeborenenuterus unter Aspekt der User Experience
(2021)
Vor der 37. Schwangerschaftswoche geborene Babys gelten als Frühgeborene, was Stand 2010 weltweit auf jedes zehnte Neugeborene zutrifft. Komplikationen führten 2015 zu einer Million Todesfälle. Die Überlebenden leiden trotz medizinischer Versorgung an den direkten oder späten Folgen. Weltweit wird an einem künstlichen Uterus geforscht. Biological Cocoon ist - basierend auf neuestem Forschungsstand und bei Betreuung im Perinatalzentrum - für Frühgeborene ab der 22. bis 35. Schwangerschaftswoche konzipiert.
Durch Nachahmung natürlicher Gegebenheiten wird die Entwicklung deutlich verbessert, wie zum Beispiel durch das Abspielen der Geräusche im Mutterleib. Die Eltern werden mit einbezogen und fördern die Weiterentwicklung besonders durch Interaktion mit ihrem Frühgeborenen vor Ort und auf Distanz per App.
Biological Cocoon macht die Behandlung angenehm. Spätfolgen beim Neugeborenen werden vermieden.
A new functionalization method to modify capacitive electrolyte–insulator–semiconductor (EIS) structures with nanofilms is presented. Layers of polyallylamine hydrochloride (PAH) and graphene oxide (GO) with the compound polyaniline:poly(2-acrylamido-2-methyl-1-propanesulfonic acid) (PANI:PAAMPSA) are deposited onto a p-Si/SiO2 chip using the layer-by-layer technique (LbL). Two different enzymes (urease and penicillinase) are separately immobilized on top of a five-bilayer stack of the PAH:GO/PANI:PAAMPSA-modified EIS chip, forming a biosensor for detection of urea and penicillin, respectively. Electrochemical characterization is performed by constant capacitance (ConCap) measurements, and the film morphology is characterized by atomic force microscopy (AFM) and scanning electron microscopy (SEM). An increase in the average sensitivity of the modified biosensors (EIS–nanofilm–enzyme) of around 15% is found in relation to sensors, only carrying the enzyme but without the nanofilm (EIS–enzyme). In this sense, the nanofilm acts as a stable bioreceptor onto the EIS chip improving the output signal in terms of sensitivity and stability.
We consider a binary multivariate regression model where the conditional expectation of a binary variable given a higher-dimensional input variable belongs to a parametric family. Based on this, we introduce a model-based bootstrap (MBB) for higher-dimensional input variables. This test can be used to check whether a sequence of independent and identically distributed observations belongs to such a parametric family. The approach is based on the empirical residual process introduced by Stute (Ann Statist 25:613–641, 1997). In contrast to Stute and Zhu’s approach (2002) Stute & Zhu (Scandinavian J Statist 29:535–545, 2002), a transformation is not required. Thus, any problems associated with non-parametric regression estimation are avoided. As a result, the MBB method is much easier for users to implement. To illustrate the power of the MBB based tests, a small simulation study is performed. Compared to the approach of Stute & Zhu (Scandinavian J Statist 29:535–545, 2002), the simulations indicate a slightly improved power of the MBB based method. Finally, both methods are applied to a real data set.
This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time.
The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.
Fast jeder zehnte Mensch in Deutschland hat eine Behinderung. Dennoch gibt es gegenüber diesen Personen eine Menge Vorurteile und unangemessenes Verhalten. Dieses Projekt befasst sich mit der Frage, wie Menschen mit einer Behinderung leben, wie sie denken und welche Rolle Barrieren in ihrem Alltag spielen. Dazu wurden Personen mit unterschiedlichen Lebenseinstellungen und Behinderungen porträtiert. Die Arbeit dokumentiert, inwieweit die Behinderung in ihr Leben und in ihre Persönlichkeit mit einspielt. Die Bilderserie in Kombination mit einem Textteil als Printmedium wird ergänzt durch eine Audiodatei. Dieses Zusammenspiel ist wichtig, um eine Barrierefreiheit der Arbeit zu gewährleisten. Auch die Bindungsform und Schriftgestaltung orientieren sich an barrierefreier Gestaltung. Das Projekt trägt dazu bei, Barrieren aufzuheben - sowohl in unseren Köpfen als auch an Bordsteinkanten.
Die Pflanzenvielfalt der Erde steht im Fokus aller Aktivitäten am Botanischen Garten und Botanischen Museum Berlin (BGBM). Umfangreiche wissenschaftliche Sammlungen bilden zusammen mit den historischen Garten- und Gewächshausanlagen, dem Museum und einer modernen Forschungsinfrastruktur die Grundlage für die dortige Arbeit. Darüber hinaus trägt das BGBM mit seinen Forschungs- und Entwicklungsprojekten zu nationalen und internationalen Biodiversitätsprogrammen bei. Umso wichtiger ist es, der Einrichtung ein klares und modernes Auftreten zu geben. Das neue Erscheinungsbild lässt Garten und Museum durch eine rahmende Typografie zu einer Einheit werden und kommuniziert so auch gleichzeitig das Leitbild der Einrichtung, als „Schaufenster in die Pflanzenwelt“ zu dienen. Es positioniert das BGBM zum einen als wissenschaftliche Institution und zum anderen als farbenfrohes Ausflugsziel und Erholungsort.
Plant virus-like particles, and in particular, tobacco mosaic virus (TMV) particles, are increasingly being used in nano- and biotechnology as well as for biochemical sensing purposes as nanoscaffolds for the high-density immobilization of receptor molecules. The sensitive parameters of TMV-assisted biosensors depend, among others, on the density of adsorbed TMV particles on the sensor surface, which is affected by both the adsorption conditions and surface properties of the sensor. In this work, Ta₂O₅-gate field-effect capacitive sensors have been applied for the label-free electrical detection of TMV adsorption. The impact of the TMV concentration on both the sensor signal and the density of TMV particles adsorbed onto the Ta₂O₅-gate surface has been studied systematically by means of field-effect and scanning electron microscopy methods. In addition, the surface density of TMV particles loaded under different incubation times has been investigated. Finally, the field-effect sensor also demonstrates the label-free detection of penicillinase immobilization as model bioreceptor on TMV particles.
An acetoin biosensor based on a capacitive electrolyte–insulator–semiconductor (EIS) structure modified with the enzyme acetoin reductase, also known as butane-2,3-diol dehydrogenase (Bacillus clausii DSM 8716ᵀ), is applied for acetoin detection in beer, red wine, and fermentation broth samples for the first time. The EIS sensor consists of an Al/p-Si/SiO₂/Ta₂O₅ layer structure with immobilized acetoin reductase on top of the Ta₂O₅ transducer layer by means of crosslinking via glutaraldehyde. The unmodified and enzyme-modified sensors are electrochemically characterized by means of leakage current, capacitance–voltage, and constant capacitance methods, respectively.
The integration of frequently changing, volatile product data from different manufacturers into a single catalog is a significant challenge for small and medium-sized e-commerce companies. They rely on timely integrating product data to present them aggregated in an online shop without knowing format specifications, concept understanding of manufacturers, and data quality. Furthermore, format, concepts, and data quality may change at any time. Consequently, integrating product catalogs into a single standardized catalog is often a laborious manual task. Current strategies to streamline or automate catalog integration use techniques based on machine learning, word vectorization, or semantic similarity. However, most approaches struggle with low-quality or real-world data. We propose Attribute Label Ranking (ALR) as a recommendation engine to simplify the integration process of previously unknown, proprietary tabular format into a standardized catalog for practitioners. We evaluate ALR by focusing on the impact of different neural network architectures, language features, and semantic similarity. Additionally, we consider metrics for industrial application and present the impact of ALR in production and its limitations.
Aneurysmal subarachnoid hemorrhage (aSAH) is associated with early and delayed brain injury due to several underlying and interrelated processes, which include inflammation, oxidative stress, endothelial, and neuronal apoptosis. Treatment with melatonin, a cytoprotective neurohormone with anti-inflammatory, anti-oxidant and anti-apoptotic effects, has been shown to attenuate early brain injury (EBI) and to prevent delayed cerebral vasospasm in experimental aSAH models. Less is known about the role of endogenous melatonin for aSAH outcome and how its production is altered by the pathophysiological cascades initiated during EBI. In the present observational study, we analyzed changes in melatonin levels during the first three weeks after aSAH.
In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway.
Kawasaki Heavy Industries, LTD. (KHI) has research and development projects for a future hydrogen society. These projects comprise the complete hydrogen cycle, including the production of hydrogen gas, the refinement and liquefaction for transportation and storage, and finally the utilization in a gas turbine for electricity and heat supply. Within the development of the hydrogen gas turbine, the key technology is stable and low NOx hydrogen combustion, namely the Dry Low NOx (DLN) hydrogen combustion.
KHI, Aachen University of Applied Science, and B&B-AGEMA have investigated the possibility of low NOx micro-mix hydrogen combustion and its application to an industrial gas turbine combustor. From 2014 to 2018, KHI developed a DLN hydrogen combustor for a 2MW class industrial gas turbine with the micro-mix technology. Thereby, the ignition performance, the flame stability for equivalent rotational speed, and higher load conditions were investigated. NOx emission values were kept about half of the Air Pollution Control Law in Japan: 84ppm (O2-15%). Hereby, the elementary combustor development was completed.
From May 2020, KHI started the engine demonstration operation by using an M1A-17 gas turbine with a co-generation system located in the hydrogen-fueled power generation plant in Kobe City, Japan. During the first engine demonstration tests, adjustments of engine starting and load control with fuel staging were investigated. On 21st May, the electrical power output reached 1,635 kW, which corresponds to 100% load (ambient temperature 20 °C), and thereby NOx emissions of 65 ppm (O2-15, 60 RH%) were verified. Here, for the first time, a DLN hydrogen-fueled gas turbine successfully generated power and heat.